mirror of
https://github.com/khoj-ai/khoj.git
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15ae22bdcf
Reduces build time and resolves FileNotFoundError 'ninja' during llama-cpp-python local build.
49 lines
1.7 KiB
Docker
49 lines
1.7 KiB
Docker
# syntax=docker/dockerfile:1
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FROM ubuntu:jammy
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LABEL homepage="https://khoj.dev"
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LABEL repository="https://github.com/khoj-ai/khoj"
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LABEL org.opencontainers.image.source="https://github.com/khoj-ai/khoj"
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LABEL org.opencontainers.image.description="Your second brain, containerized for personal, local deployment."
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# Install System Dependencies
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RUN apt update -y && apt -y install \
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python3-pip \
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swig \
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curl \
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# Required by RapidOCR
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libgl1 \
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libglx-mesa0 \
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libglib2.0-0 && \
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# Required by Next.js Web app
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curl -sL https://deb.nodesource.com/setup_20.x | bash - && \
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curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | apt-key add - && \
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echo "deb https://dl.yarnpkg.com/debian/ stable main" | tee /etc/apt/sources.list.d/yarn.list && \
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apt update -y && apt -y --no-install-recommends install nodejs yarn && \
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apt clean && rm -rf /var/lib/apt/lists/*
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# Install Application
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WORKDIR /app
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COPY pyproject.toml .
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COPY README.md .
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ARG VERSION=0.0.0
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ENV PIP_EXTRA_INDEX_URL=https://abetlen.github.io/llama-cpp-python/whl/cpu
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RUN sed -i "s/dynamic = \\[\"version\"\\]/version = \"$VERSION\"/" pyproject.toml && \
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pip install --no-cache-dir .
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# Copy Source Code
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COPY . .
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# Set the PYTHONPATH environment variable in order for it to find the Django app.
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ENV PYTHONPATH=/app/src:$PYTHONPATH
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# Go to the directory src/interface/web and export the built Next.js assets
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WORKDIR /app/src/interface/web
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RUN bash -c "yarn install --frozen-lockfile && yarn ciexport && yarn cache clean"
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WORKDIR /app
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# Run the Application
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# There are more arguments required for the application to run,
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# but these should be passed in through the docker-compose.yml file.
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ARG PORT
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EXPOSE ${PORT}
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ENTRYPOINT ["python3", "src/khoj/main.py"]
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